Results 11 to 20 of about 4,653,669 (338)
Dynamic machine vision with retinomorphic photomemristor-reservoir computing
Dynamic machine vision requires recognizing the past and predicting the future of a moving object based on present vision. Current machine vision systems accomplish this by processing numerous image frames or using complex algorithms.
Hongwei Tan, S. van Dijken
semanticscholar +1 more source
Ultrafast dynamic machine vision with spatiotemporal photonic computing
Ultrafast dynamic machine vision in the optical domain can provide unprecedented perspectives for high-performance computing. However, owing to the limited degrees of freedom, existing photonic computing approaches rely on the memory’s slow read/write ...
Tiankuang Zhou +4 more
semanticscholar +1 more source
Fruit Sizing in Orchard: A Review from Caliper to Machine Vision with Deep Learning
Forward estimates of harvest load require information on fruit size as well as number. The task of sizing fruit and vegetables has been automated in the packhouse, progressing from mechanical methods to machine vision over the last three decades.
C. Neupane +3 more
semanticscholar +1 more source
Research on the Application Status of Machine Vision Technology in Furniture Manufacturing Process
Machine vision technology was integrated into the manufacturing workshop, to achieve an effective and high-quality production mode for furniture manufacturing.
Rongrong Li, Shuchang Zhao, Bokai Yang
semanticscholar +1 more source
Preprocessing Enhanced Image Compression for Machine Vision [PDF]
Recently, more and more images are compressed and sent to the back-end devices for machine analysis tasks (e.g., object detection) instead of being purely watched by humans.
Guo Lu +4 more
semanticscholar +1 more source
State of the Art in Defect Detection Based on Machine Vision
Machine vision significantly improves the efficiency, quality, and reliability of defect detection. In visual inspection, excellent optical illumination platforms and suitable image acquisition hardware are the prerequisites for obtaining high-quality ...
Zhonghe Ren, F. Fang, Ning Yan, You Wu
semanticscholar +1 more source
Ultralow‐Power Machine Vision with Self‐Powered Sensor Reservoir
A neuromorphic visual system integrating optoelectronic synapses to perform the in‐sensor computing is triggering a revolution due to the reduction of latency and energy consumption.
J. Lao +15 more
semanticscholar +1 more source
MS-YOLO: Object Detection Based on YOLOv5 Optimized Fusion Millimeter-Wave Radar and Machine Vision
Millimeter-wave radar and machine vision are both important means for intelligent vehicles to perceive the surrounding environment. Aiming at the problem of multi-sensor fusion, this paper proposes the object detection method of millimeter-wave radar and
Yunyun Song +3 more
semanticscholar +1 more source
LOEN: Lensless opto-electronic neural network empowered machine vision
Machine vision faces bottlenecks in computing power consumption and large amounts of data. Although opto-electronic hybrid neural networks can provide assistance, they usually have complex structures and are highly dependent on a coherent light source ...
Wanxin Shi +6 more
semanticscholar +1 more source
Introducing machine vision-based automation to the agricultural sector is essential to meet the food demand of a rapidly growing population. Furthermore, extensive labor and time are required in agriculture; hence, agriculture automation is a major ...
Jaemyung Shin +5 more
semanticscholar +1 more source

